Phase Speech Acoustic Clean EEG Dataset

This dataset is linked to the journal paper published in Nature Scientific Report. Malekmohammadi, Alireza, Josef P. Rauschecker, and Gordon Cheng. "Speech prediction of a listener via EEG-based classification through subject-independent phase dissimilarity model." <i>Scientific Reports</i> 15.1 (2025): 26174.The clean dataset includes 17 subjects, including three dimensions, i.e., 59 channels, 34000 time points ranging from -3 s to 65 s, and 66 trials. The 66 trials, as explained in the paper, are related to the 22 audiobooks repeated three times in the following order: stim1, stim1, stim1, stim2, stim2, stim2, ..., stim22, stim22, stim22.If you have any questions, please do not hesitate to ask the first author.

本数据集关联一篇发表于《科学报告》（*Scientific Reports*）的学术论文：作者为Malekmohammadi, Alireza、Josef P. Rauschecker与Gordon Cheng，论文题为《基于受试者独立相位差异模型的脑电图分类实现听者语音预测》，刊载于*Scientific Reports* 15.1 (2025): 26174。本清洁数据集共纳入17名受试者，数据包含三个核心维度：59通道脑电信号、覆盖-3秒至65秒时长的34000个时间点，以及66组试次。如论文所述，该66组试次对应22段有声书，每段重复三次，呈现顺序为：stim1、stim1、stim1、stim2、stim2、stim2……直至stim22、stim22、stim22。如有任何疑问，请联系本文第一作者。